Literature DB >> 22940835

Visual expertise in detecting and diagnosing skeletal fractures.

Greg Wood1, Karen M Knapp, Benjamin Rock, Chris Cousens, Carl Roobottom, Mark R Wilson.   

Abstract

OBJECTIVE: Failure to identify fractures is the most common error in accident and emergency departments. Therefore, the current research aimed to understand more about the processes underlying perceptual expertise when interpreting skeletal radiographs.
MATERIALS AND METHODS: Thirty participants, consisting of ten novices, ten intermediates, and ten experts were presented with ten clinical cases of normal and abnormal skeletal radiographs of varying difficulty (obvious or subtle) while wearing eye tracking equipment.
RESULTS: Experts were significantly more accurate, more confident, and faster in their diagnoses than intermediates or novices and this performance advantage was more pronounced for the subtle cases. Experts were also faster to fixate the site of the fracture and spent more relative time fixating the fracture than intermediates or novices and this was again most pronounced for subtle cases. Finally, a multiple linear regression analysis found that time to fixate the fracture was inversely related to diagnostic accuracy and explained 34 % of the variance in this variable.
CONCLUSIONS: The results suggest that the performance advantage of expert radiologists is underpinned by superior pattern recognition skills, as evidenced by a quicker time to first fixate the pathology, and less time spent searching the image.

Entities:  

Mesh:

Year:  2012        PMID: 22940835     DOI: 10.1007/s00256-012-1503-5

Source DB:  PubMed          Journal:  Skeletal Radiol        ISSN: 0364-2348            Impact factor:   2.199


  14 in total

1.  Time course of perception and decision making during mammographic interpretation.

Authors:  Calvin F Nodine; Claudia Mello-Thoms; Harold L Kundel; Susan P Weinstein
Journal:  AJR Am J Roentgenol       Date:  2002-10       Impact factor: 3.959

2.  Detection or decision errors? Missed lung cancer from the posteroanterior chest radiograph.

Authors:  D J Manning; S C Ethell; T Donovan
Journal:  Br J Radiol       Date:  2004-03       Impact factor: 3.039

3.  Spectrum of diagnostic errors in radiology.

Authors:  Antonio Pinto; Luca Brunese
Journal:  World J Radiol       Date:  2010-10-28

4.  Searching for lung nodules. Visual dwell indicates locations of false-positive and false-negative decisions.

Authors:  H L Kundel; C F Nodine; E A Krupinski
Journal:  Invest Radiol       Date:  1989-06       Impact factor: 6.016

5.  Time-dependent observer errors in pulmonary nodule detection.

Authors:  D Manning; S C Barker-Mill; T Donovan; T Crawford
Journal:  Br J Radiol       Date:  2006-04       Impact factor: 3.039

6.  The problem of image interpretation in mammography: effects of lesion conspicuity on the visual search strategy of radiologists.

Authors:  C Mello-Thoms
Journal:  Br J Radiol       Date:  2006-12       Impact factor: 3.039

Review 7.  The importance of perception research in medical imaging.

Authors:  E A Krupinski
Journal:  Radiat Med       Date:  2000 Nov-Dec

8.  The influence of expertise on X-ray image processing.

Authors:  M Myles-Worsley; W A Johnston; M A Simons
Journal:  J Exp Psychol Learn Mem Cogn       Date:  1988-07       Impact factor: 3.051

9.  A visual concept shapes image perception.

Authors:  H L Kundel; C F Nodine
Journal:  Radiology       Date:  1983-02       Impact factor: 11.105

10.  Holistic processing predicts face recognition.

Authors:  Jennifer J Richler; Olivia S Cheung; Isabel Gauthier
Journal:  Psychol Sci       Date:  2011-03-10
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  19 in total

1.  Looks can be deceiving: Gaze pattern differences between novices and experts during placement of central lines.

Authors:  Hong-En Chen; Cheyenne C Sonntag; David F Pepley; Rohan S Prabhu; David C Han; Jason Z Moore; Scarlett R Miller
Journal:  Am J Surg       Date:  2018-11-13       Impact factor: 2.565

2.  Anatomical and/or pathological predictors for the "incorrect" classification of red dot markers on wrist radiographs taken following trauma.

Authors:  R Kranz; P Cosson
Journal:  Br J Radiol       Date:  2014-12-11       Impact factor: 3.039

Review 3.  Mandating Limits on Workload, Duty, and Speed in Radiology.

Authors:  Robert Alexander; Stephen Waite; Michael A Bruno; Elizabeth A Krupinski; Leonard Berlin; Stephen Macknik; Susana Martinez-Conde
Journal:  Radiology       Date:  2022-06-14       Impact factor: 29.146

4.  Skill Assessment in the Interpretation of 3D Fracture Patterns from Radiographs.

Authors:  Geb W Thomas; Salvador Rojas-Murillo; Jessica M Hanley; Clarence D Kreiter; Matthew D Karam; Donald D Anderson
Journal:  Iowa Orthop J       Date:  2016

5.  Visual Interpretation of Plain Radiographs in Orthopaedics Using Eye-Tracking Technology.

Authors:  Jessica Hanley; David Warren; Natalie Glass; Daniel Tranel; Matthew Karam; Joseph Buckwalter
Journal:  Iowa Orthop J       Date:  2017

6.  Internet-based measurement of visual assessment skill of trainee radiologists: developing a sensitive tool.

Authors:  Martin Thirkettle; Mandela Thyoka; Padmini Gopalan; Nadiah Fernandes; Tom Stafford; Amaka C Offiah
Journal:  Br J Radiol       Date:  2019-02-28       Impact factor: 3.039

7.  Exploring Eye-tracking Technology as an Assessment Tool for Point-of-care Ultrasound Training.

Authors:  Wei Feng Lee; Jordan Chenkin
Journal:  AEM Educ Train       Date:  2020-09-01

8.  Training focal lung pathology detection using an eye movement modeling example.

Authors:  Stephanie Brams; Gal Ziv; Ignace Tc Hooge; Oron Levin; Johny Verschakelen; A Mark Williams; Johan Wagemans; Werner F Helsen
Journal:  J Med Imaging (Bellingham)       Date:  2021-03-13

9.  Directing visual attention during action observation modulates corticospinal excitability.

Authors:  David J Wright; Greg Wood; Zoe C Franklin; Ben Marshall; Martin Riach; Paul S Holmes
Journal:  PLoS One       Date:  2018-01-05       Impact factor: 3.240

Review 10.  How visual search relates to visual diagnostic performance: a narrative systematic review of eye-tracking research in radiology.

Authors:  A van der Gijp; C J Ravesloot; H Jarodzka; M F van der Schaaf; I C van der Schaaf; J P J van Schaik; Th J Ten Cate
Journal:  Adv Health Sci Educ Theory Pract       Date:  2016-07-19       Impact factor: 3.853

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